Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Jiang, Boyi"'
Publikováno v:
Open Life Sciences, Vol 19, Iss 1, Pp 347-56 (2024)
Delayed or failed bone healing is a significant clinical challenge worldwide. Bone marrow mesenchymal stem cells (BMSCs) offer a promising approach for improving fracture healing. Isomangiferin, a xanthone C-glucoside, is known for its pharmacologica
Externí odkaz:
https://doaj.org/article/2947572e08a64a77ba3975469f54e32e
We propose SelfRecon, a clothed human body reconstruction method that combines implicit and explicit representations to recover space-time coherent geometries from a monocular self-rotating human video. Explicit methods require a predefined template
Externí odkaz:
http://arxiv.org/abs/2201.12792
In this paper, we propose StereoPIFu, which integrates the geometric constraints of stereo vision with implicit function representation of PIFu, to recover the 3D shape of the clothed human from a pair of low-cost rectified images. First, we introduc
Externí odkaz:
http://arxiv.org/abs/2104.05289
In this paper, we consider the problem to automatically reconstruct garment and body shapes from a single near-front view RGB image. To this end, we propose a layered garment representation on top of SMPL and novelly make the skinning weight of garme
Externí odkaz:
http://arxiv.org/abs/2004.00214
Akademický článek
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Publikováno v:
In The Journal of Arthroplasty October 2023 38(10):2142-2148
Human bodies exhibit various shapes for different identities or poses, but the body shape has certain similarities in structure and thus can be embedded in a low-dimensional space. This paper presents an autoencoder-like network architecture to learn
Externí odkaz:
http://arxiv.org/abs/1905.05622
Akademický článek
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In this paper, we present a deep learning based image feature extraction method designed specifically for face images. To train the feature extraction model, we construct a large scale photo-realistic face image dataset with ground-truth corresponden
Externí odkaz:
http://arxiv.org/abs/1708.02721
With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recently shown promising performance in reconstructing detailed face shape from 2D face images. The success of CNN-based methods relies on a large number of
Externí odkaz:
http://arxiv.org/abs/1708.00980